2012
DOI: 10.1002/rnc.2849
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Finite‐time formation control of multiagent systems via dynamic output feedback

Abstract: SUMMARYFinite‐time formation control of multiple second‐order agents via dynamic output feedback is investigated in this paper. Under the assumption that the velocities of all agents cannot be measured, a continuous consensus algorithm is first proposed such that the states of all agents will reach an agreement in finite time. Then, the consensus algorithm is applied to the finite‐time formation control, including stationary formation and moving formation, respectively. Rigorous proof shows that all agents wil… Show more

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Cited by 87 publications
(43 citation statements)
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“…For any given finite settling time T , if T 1 + T 2 ≤ T , the distributed finite time control laws u 1i , u 2i , 1 ≤ i ≤ n in the form of Theorem 3.1 solve the finite consensus problem for system (5). If T 1 + T 2 > T , we will employ a time-rescaling technique to reconstruct a distributed finite-time controller to make all the agents reach consensus with agent kinematics (5) within a modified settling time…”
Section: Consensus Within Any Given Finite Settling Timementioning
confidence: 99%
See 1 more Smart Citation
“…For any given finite settling time T , if T 1 + T 2 ≤ T , the distributed finite time control laws u 1i , u 2i , 1 ≤ i ≤ n in the form of Theorem 3.1 solve the finite consensus problem for system (5). If T 1 + T 2 > T , we will employ a time-rescaling technique to reconstruct a distributed finite-time controller to make all the agents reach consensus with agent kinematics (5) within a modified settling time…”
Section: Consensus Within Any Given Finite Settling Timementioning
confidence: 99%
“…Compared with this, finite time control can provide better disturbances-rejection, fast response and tracking precision [1,2,9,12]. Finite-time stabilizing control has been studied and several finite-time consensus algorithms have been obtained in the references such as [4,5,6,13,17], just to name a few.…”
Section: Introductionmentioning
confidence: 99%
“…The basic task for formation control of multiagent systems is to drive the states or outputs of all the agents to form the desired configuration in the state or output space. The control strategies in the vast majority of the published studies can be roughly categorized into leader follower, virtual structure, behavior, consensus, rigid graph, and Laplacian‐based ones . The leader follower, virtual structure, and behavior‐based strategies have been studied extensively in the robotics community .…”
Section: Introductionmentioning
confidence: 99%
“… presented sufficient conditions for first‐order multi‐agent systems to achieve circular formations. Finite‐time formation control problems for second‐order multi‐agent systems were investigated via dynamic output feedback approaches in . Sufficient conditions for second‐order multi‐agent systems on nonlinear manifolds to achieve formations were derived in .…”
Section: Introductionmentioning
confidence: 99%